Information from the abstract
Rail passengers increasingly rely on information technology (IT) to plan their journeys, check timetables and safety information, purchase tickets, navigate stations, and connect with other modes of transport. This study develops and validates a multidimensional measure of railway information technology service quality (ITRS) and tests its relationship with passenger loyalty through the sequential mediating roles of perceived value and satisfaction, using data from 1190 intercity rail passengers in Thailand, divided into two independent samples. Exploratory and confirmatory factor analyses confirmed a consistent seven-dimensional structure for the ITRS, and the structural equation model showed a good fit to the data (χ2(768) = 2290.67, CFI = 0.963, TLI = 0.961, RMSEA = 0.058, and SRMR = 0.051). The results indicate that nearly all the influence of ITRS on loyalty is indirect: passengers do not become loyal simply because digital services function well, but because these services first build perceived value and satisfaction, which, in turn, generates loyalty. Every mediating pathway tested was statistically significant, including the full sequential pathway from ITRS through perceived value and satisfaction to loyalty. These findings suggest that technically efficient digital investment alone may not generate long-term loyalty unless it enhances passengers’ perceived value and satisfaction.
Why this record is monitored
This record has an Impact Signal of 85/100 based on recency, source, collaboration, and bibliographic signals. It prioritizes monitoring and is not a judgment of research quality.
Related topics: Customer Service Quality and Loyalty · Technology Adoption and User Behaviour · Health, Technology, Consumer Behavior
Thai researcher and institutional participation
Karn Na Sritha · Khanista Namee · Wilasinee Keerakittisakul · King Mongkut's University of Technology North Bangkok · Rajamangala University of Technology Isan
Data limitations
This page is a bibliographic record based on abstract-level information, not a full analysis or quality assessment. Verify the DOI and original article before citation.